Evidence map›Paper›PMID 35459534›Full record

ArticleNursing outlook

Inclusive leadership to guide nursing's response to improving health equity.

Jacqueline Nikpour, Ronald L Hickman, Dora Clayton-Jones, Rosa M Gonzalez-Guarda, Marion E Broome

Abstract read
In one paragraph

Article in Nursing outlook. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Authentic Leadership-A Concept Analysis.Journal of advanced nursing · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jacqueline NikpourCenter for Health Outcomes and Policy Research, University of Pennsylvania School of Nursing, Philadelphia, PA. Electronic address: jnikpour@nursing.upenn.edu.
Ronald L HickmanFrances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH.
Dora Clayton-JonesMarquette University College of Nursing, Milwaukee, WI.
Rosa M Gonzalez-GuardaDuke University School of Nursing, Community Engaged Research Initiative, Duke Clinical Transational Science Institute, Durham, NC.
Marion E BroomeDuke University, Durham NC.

Funding

ADVANCED TRAINING IN NURSING OUTCOMES RESEARCHT32NR007104 · NINR · UNIVERSITY OF PENNSYLVANIA · PI JACQUELINE MARGO BROOKS CARTHON, EILEEN T LAKE · 1999 to 2026
$11.6M
NINR NIH HHS T32 NR007104
6 · The paper itself

Abstract

The purpose of this manuscript is to examine traditional models of leadership in nursing, and to provide a roadmap and specific recommendations for nurses at all levels to lead our profession through the next decade in achieving health equity. We examine current leadership frameworks in nursing and discuss ways to contemporize these frameworks to more explicitly center the expertise of clinicians and communities from historically marginalized backgrounds. Next, we examine the racial, gender, and able-bodied biases that impact nurses, and call upon nurses to examine and dismantle these biases. We discuss the roles of health systems and academic organizations in developing inclusive leaders, including through community engagement and true service-learning partnerships. Finally, we provide a set of recommendations for all nursing leaders across career stages to embrace inclusivity as they work to improve health equity.

Indexed as

Health EquityLeadershipHumansCommunity engagementFuture of nursingHealth equityLeadership

Identifiers

PMID35459534
PMCPMC10201564

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.